中文摘要：

针对生物地理学优化（BBO）算法搜索能力不足的缺点,提出基于萤火虫算法局部决策域策略的改进迁移操作来提算法的全局寻优能力。改进的迁移操作能够在考虑不同栖息地各自的迁入率与迁出率的基础上,进一步利用栖息地之间的相互影响关系。将改进算法应用于12个典型的函数优化问题来测试改进生物地理学优化算法的性能,验证了改进算法的有效性。与BBO、改进BBO（IBBO）、基于差分进化的BBO（DE/BBO）算法的实验结果表明,改进算法提高了算法的全局搜索能力、收敛速度和解的精度。

英文摘要：

Aiming at the lack of searching ability of Biogeography-Based Optimization （BBO） algorithm, an improved migration operation based on local-decision domain was proposed to improve the global optimization ability of the algorithm. The improved migration operation can further utilize the interaction between habitats in consideration of the respective migration rates and evapotranspiration rates of different habitats. The improved algorithm was applied to 12 typical function optimization problems to test the performance, and the effectiveness of the improved algorithm was verified. Compared with BBO, Improved BBO （IBBO） and Differential Evolution/BBO （DE/BBO）, the experimental results show that the proposed algorithm can improve the capacity of global searaching optimal solution, convergence speed and computational precision of solution.